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Item Open Access SMM (SUPPORT MEDICAL MACHINE)(СДУ хабаршысы - 2020, 2020) Askarova A. ; Gylymmedden Y. ; Temirbekova D.; Sultanova N.Abstract. Machine learning (ML) provides methods, techniques, and tools that can help solve diagnostic and prognostic problems in various fields of medicine. ML is used to analyze clinical parameters and their combinations for prognosis, such as disease progression, for maintenance therapy of treatment, and for General patient management. In our time, computer systems have already begun to be introduced into the healthcare environment, which makes it possible to facilitate and improve the efficiency of medical professionals and ultimately improve the efficiency and quality of medical care. Below is a demonstration to tell what the main applications of ML were used in the application and show how they can be useful for medical care. The main task was to combine all the useful functions that can help people in the field of medicine. The application will help to determine the authenticity of medicines through text recognition and search through the database of official drug registers, as well as using recommendation systems and algorithms (K-nearest neighbor Algorithm) to help in the selection of medicines, using the camera and phone flash to calculate the heart rate, which will accordingly help people with blood pressure problems. The application will be available on two platforms on 10S, as well as for the Android operating system, as it was implemented through the Flutter framework in Android Studio. For the algorithms, used Google's ML-Kit libraries. Jupyter, numpy, pandas, matplotlib, scipy, and scikit-learn Notepad are also used for data preparation.Item Open Access STRUCTURE AND CAPABILITIES OF SMART HOME SYSTEM USING CLOUD(SDU University, 2017) Tleuli R. Zh. ; Baimuratov O.Abstract. This work proposes an exceptional structure of low cost smart home system, based on IOS app linked to the cloud service, which is used for monitoring and controlling. It meets various kinds of requirements of technical and economic perspective and fulfills them all. In addition to that, tools like temperature and humidity sensor, motion sensor, distance sensor, gas sensor, sound sensor etc. will increase effectiveness of the data analysis and changes indication. Moreover, this home automation system could be used not only in industrial and governmental needs, but could also be useful in private sector. In addition to that, gathering and storing data in cloud services guaranty safety and remote access. In this article are shown results of development of SHS (Smart Home System), integrated with the cloud environment and interacting with NodeMCU, which can be used by students, engineers and other users for studying and applying SHS and sensors.